One shot contact learning

Marek Kopicki, Jeremy L Wyatt

Research output: Chapter in Book/Report/Conference proceedingConference contribution


We present a general method for one-shot learning of dexterous grasps and object placement. We rely on a product of experts formulation. Experts in the product are of two types. The first is a contact model and is a density over the pose of a single hand link relative to the local object surface. The second is the hand configuration model and is a density over the whole hand configuration. Grasp generation for a novel object optimises the product of these two model types. Selection between grasp types is also automatic. The success rate is 84.4% or 77.7% if seven views or a single view of the test object are taken. We also show initial results on object placement.
Original languageEnglish
Title of host publicationRSS 2015 Workshop Bridging the Gap between Data-driven and Analytical Physics-based Grasping and Manipulation
Publication statusPublished - 16 Jul 2015

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